Staff Product Data Scientist, Vehicle Analytics & Insights

About the role

We are building a new Vehicle Analytics & Insights team within GM’s Vehicle Product organization, and this role is a foundational hire. As a Staff Product Data Scientist, you’ll help define how analytics informs product decisions for GM’s vehicle experience.

Responsibilities

• Define, standardize, and evolve product success metrics and KPI frameworks across in-vehicle experiences, ensuring consistency, clarity, and alignment to customer value and business outcomes.
• Lead the product analytics instrumentation strategy, partnering with Product and Engineering to define what data should be captured, how it should be implemented, and how quality and consistency are maintained.
• Act as a thought partner to product teams to proactively identify opportunities and inform prioritization and product strategy, rather than responding to ad hoc requests.
• Perform deep-dive analyses to understand customer journeys, engagement patterns, friction points, and value moments across in-vehicle experiences, translating complex behavioral data into clear, actionable insights.
• Design, build, and own dashboards and self-serve analytics that enable product teams and leaders to continuously monitor product performance, adoption, and health.
• Frame complex analytical findings into clear decision narratives, explicitly surfacing tradeoffs, risks, and opportunities to influence product strategy and prioritization.
• Set best practices for experimentation and causal inference in environments where traditional A/B testing may be constrained, applying statistical rigor and sound judgment to real-world product decisions.
• Help establish the foundational product analytics practices for the Vehicle Product organization that will scale as the team grows.
• Act as a force multiplier for analytics capability, mentoring analysts and product partners, raising data literacy, and enabling teams to increasingly self-serve insights while maintaining high analytical standards.

Requirements

Master’s degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience). 7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products.

Expert-level SQL skills, with a demonstrated ability to define trusted metrics, validate data, and diagnose data quality issues in complex, evolving data ecosystems.

Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation.

Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth.

Hands-on experience with data visualization and BI tools (e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading.

Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams.

Qualifications

Master’s degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience).

7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products.

Expert-level SQL skills, with a demonstrated ability to define trusted metrics, validate data, and diagnose data quality issues in complex, evolving data ecosystems.

Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation.

Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth.

Hands-on experience with data visualization and BI tools (e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading.

Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams.

Skills

• Master’s degree in Analytics, Statistics, Mathematics, Computer Science, or a related quantitative field (or equivalent practical experience).
• 7+ years of experience in data science or analytics, with a strong preference for product analytics / product data science roles supporting software or digital products.
• Expert-level SQL skills, with a demonstrated ability to define trusted metrics, validate data, and diagnose data quality issues in complex, evolving data ecosystems.
• Strong experience using Python (or similar languages) for exploratory analysis, statistical modeling, experimentation, and automation.
• Demonstrated ability to translate data into clear stories and recommendations, and to communicate technical concepts effectively to audiences with varying levels of technical depth.
• Hands-on experience with data visualization and BI tools (e.g., Databricks, Power BI, Looker, or similar) and a strong point of view on what makes dashboards useful versus misleading.
• Strong written and verbal communication skills, with a proven ability to collaborate effectively across Product, Engineering, Design, and adjacent teams.

Benefits

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is 159,400 and 245,700. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.